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Strong Intel brand, metro Bangalore and ML domain increase competition, mitigated by senior specialist requirements.
Role requires deep ML systems and platform expertise, so cross-industry transferability is limited.
Explicit 8+ years and specialized ML, systems, and C++ requirements make screening highly strict.
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Lead design and implementation of scalable AI/ML architectures to modernize platform technologies including debugging and power/performance workflows.
Develop intelligent autonomous agents for self-orchestrating debugging, analysis, and optimization with continuous learning capabilities.
Create analytics frameworks to monitor, predict, and optimize power efficiency and system performance for client products.
7+ years experience with Bachelor's degree or 8+ years with Master's degree in Computer Science, Electronics, or related fields.
Strong proficiency in Machine Learning, Deep Learning, AI system design, and Agentic AI/autonomous systems.
Proficiency in Python and C/C++ for system-level development and performance-critical components.
Experience with platform technologies, system debugging, power/performance optimization workflows, and MLOps for AI production deployment.
Experienced in integrating AI-driven solutions across hardware, software, and platform engineering teams in complex technology environments.
Demonstrates ability to operate at the intersection of AI system design and low-level system architecture (memory, CPU, GPU).
Proven track record of developing scalable, production-grade AI/ML systems with strong focus on power and performance analytics.